An integrated fuzzy simulation–fuzzy data envelopment analysis approach for optimum maintenance planning

Abstract

Modelling maintenance activities could be a complex and non-linear system which consists of different parameters. This article presents an integrated fuzzy simulation-fuzzy data envelopment analysis (FSFDEA) to cope with a special case of 'maintenance activity planning' problem. First, the maintenance activities are simulated by means of Awesim ® . Due to the ambiguity associated with the time between failures, fuzzy sets theory is incorporated into the simulation network. Different distribution functions for production, failure and maintenance times are estimated using historical data. Then, outputs are computed by carrying out the simulation for different scenarios which are combinations of periodic maintenances. Several outputs including machines and operators' availability, reliability, efficiency and queue length are computed. Data envelopment analysis (DEA) method is used to select the preferred policy for this multi-criteria problem. In order to handle fuzzy outputs of the simulation, fuzzy DEA model is applied. To show the applicability of the proposed FSFDEA algorithm for planning maintenance activities, the data for a series production line is used and different scenarios are investigated. The proposed approach of this study would help managers to identify the preferred strategy considering and investigating various parameters and scenarios.

A fuzzy-based assessment procedure for a clothing factory with waste-prevention consideration

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An integrated data envelopment analysis and simulation method for group consensus ranking

“…Although DEA and simulation are methods that have been extensively studied and applied in the literature, there are very few studies which have integrated DEA and simulation. For example, recently, a few researchers have proposed hybrid methods for integrating DEA and simulation in farming [29], healthcare [1,23] and manufacturing [6,30]. However, integrated DEA and simulation frameworks are still in their early stages of development with simulation promising to be a very powerful tool for testing, improving and extending DEA models in hybrid uncertain environments [28].…”

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